\(\diamond \)State of the art solutions: Recently 3D point cloud datasets and associated solutions for segmentations and classifications are presented and the need to conduct research on 3D Models is proliferated [1]}, [2]}, [3]}. Here, we summarise the most popular ones. The most common benchmarks for comparing methods
for point cloud classification are ShapeNet Core [4]} and Modelnet40 [5]}. There are current solutions tested on ModelNet40, such as Point-Net [1]}, DGCNN [7]} and RSCNN [8]}. In this research, we apply two of these current solutions, DGCNN and Point-Net, with which we compare the results.
